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Diagnostic tool for early detection of ovarian cancers using Ramanspectroscopy

机译:使用拉曼光谱法早期发现卵巢癌的诊断工具

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Abstract: With an overall survival rate of about 35 percent, ovarian cancer claims more than 13,000 women in the US each year. It is estimated that roughly 1 in 70 women will develop ovarian cancer. Current screening techniques are challenged due to cost-effectiveness, variable false-positive results, and the asymptomatic nature of the early stages of ovarian cancer. The predominant screening method for ovarian cancers is transvaginal sonography (TVS). TVS is fairly accomplished at ovarian cancer detection, however it is inefficient in distinguishing between benign and malignant masses. Accurate diagnosis of the ovarian tumor relies on exploratory laparotomy, thus increasing the cost and hazard of false- positive screening methods. Raman spectroscopy has been sued successfully as a diagnostic tool in several organ systems in vitro. These studies have shown that Raman spectroscopy can be used to provide diagnosis of subtle changes in tissue pathology with high accuracy. Based on this success, we have developed a Raman spectroscopic system for application in the ovary. Using this system, the Raman signatures of normal and various types of non-normal human ovarian tissues were characterized in vitro. Raman spectra are being analyzed, and empirical as well as multivariate discriminatory algorithms developed. Based on the result of this study, a strategy for in vivo trials will be planned. !19
机译:摘要:卵巢癌的总生存率约为35%,每年在美国有13,000多名妇女。据估计,大约有70名女性中有1名会患上卵巢癌。由于成本效益,假阳性结果多变以及卵巢癌早期无症状的性质,当前的筛查技术面临挑战。卵巢癌的主要筛查方法是经阴道超声检查(TVS)。 TVS在卵巢癌检测中相当成功,但是在区分良性和恶性肿块方面效率低下。卵巢肿瘤的准确诊断依赖于探查性剖腹术,因此增加了假阳性筛查方法的成本和危险性。拉曼光谱已成功地用作体外几种器官系统的诊断工具。这些研究表明,拉曼光谱法可用于提供对组织病理学细微变化的诊断,且准确性很高。基于此成功,我们开发了用于卵巢的拉曼光谱系统。使用该系统,在体外表征正常和各种类型的非正常人卵巢组织的拉曼特征。正在对拉曼光谱进行分析,并开发出经验和多元判别算法。根据这项研究的结果,将计划进行体内试验的策略。 !19

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